ACC1012 : Quantitative and digital skills for accounting and finance
ACC1012 : Quantitative and digital skills for accounting and finance
- Offered for Year: 2026/27
- Module Leader(s): Dr Melis Power
- Co-Module Leader: Dr James Waldron
- Owning School: Newcastle University Business School
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 20 |
| ECTS Credits: | 10.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
Pre Requisite Comment
N/A
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
Aims
To provide students with an introductory understanding of some of the digital tools and statistical methodologies that are used in the professions of accounting and finance.
Outline Of Syllabus
The digital skills element and the mathematics/ statistical element will be taught concurrently.
· The digital skills syllabus will introduce various systems and processes which are vital to success as an accounting and finance professional, including Microsoft Excel.
· The mathematics syllabus will cover key quantitative methods including the basics of linear and non-linear equations, differentiation, partial differentiation, optimisation, probability and hypothesis testing.
Learning Outcomes
Intended Knowledge Outcomes
By the end of the module, students will be able to:
Use a range of digital tools to solve accounting and finance problems at an introductory level.
Be able to select the appropriate digital tool/s to use in the analysis and presentation of a data set.
Understand the basic concepts of linear and non-linear equations and apply them to linear programming and break-even analysis problems.
Understand the basic concepts of differentiation and partial differentiation and apply them to solve straight-forward business and finance issues.
Understand the basic concepts of descriptive statistics and use them to present and describe data using appropriate tables, charts and numerical measures.
Understand the concepts of basic probability, random variables and associated distribution and density functions and relate and apply them to the binomial, uniform and normal distributions.
Understand the basic concepts of estimation and hypothesis testing and apply them to problems involving population means and variances.
Interpret the output from basic regression analysis and describe the limitations of standard interpretations.
Intended Skill Outcomes
By the end of the module, students will be able to:
• Analyse accounting and finance data through the use of digital tools which are relevant to the accounting and finance professions, at an introductory level.
• Be numerate, including the processing and analysis of financial and other numerical data and the appreciation of basic statistical concepts.
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 2 | 1:00 | 2:00 | PIP digital skills lectures |
| Scheduled Learning And Teaching Activities | Lecture | 20 | 1:00 | 20:00 | PIP maths lectures |
| Guided Independent Study | Assessment preparation and completion | 1 | 45:00 | 45:00 | Maths assessment preparation and completion |
| Guided Independent Study | Assessment preparation and completion | 1 | 57:00 | 57:00 | Digital skills assessment preparation and completion. |
| Scheduled Learning And Teaching Activities | Small group teaching | 3 | 1:00 | 3:00 | PIP Maths seminars |
| Scheduled Learning And Teaching Activities | Workshops | 4 | 1:00 | 4:00 | Digital Skills workshops |
| Scheduled Learning And Teaching Activities | Workshops | 3 | 1:00 | 3:00 | PIP Maths workshops |
| Scheduled Learning And Teaching Activities | Drop-in/surgery | 1 | 1:00 | 1:00 | Digital skills pre-assessment drop in |
| Guided Independent Study | Independent study | 1 | 65:00 | 65:00 | Maths independent study |
| Total | 200:00 |
Teaching Rationale And Relationship
Digital skills lectures and workshops will be presented by academic staff from the Accounting and Financial management and/ or Finance subject groups. These sessions will be focused on the first two knowledge outcomes and the first skill outcome listed.
Mathematics and statistics lectures will be presented by colleagues from the School of Maths, who will introduce concepts and techniques. Lectures will be supported by workshop and small group sessions where students will discuss and obtain feedback on their work on case studies designed to put into practice the material taught in lecture materials. Students will also be set weekly Maths practice questions with solutions that develop their ability to apply the key concepts of the module. This activity will satisfy the remaining learning and skill outcomes listed.
The maths element is jointly taught across ACC1012 (the N400 and N300 programme) and AFM1151 (the NN14 programme).
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 1 | A | 50 | N/A |
| Digital Examination | 60 | 1 | A | 30 | N/A |
Exam Pairings
| Module Code | Module Title | Semester | Comment |
|---|---|---|---|
| Introductory Quantitative Methods and Assurance | 1 | Only the 50% maths and stats exam is paired with the maths and stats exam on AFM1151. |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Case study | 1 | M | 10 | CBAs and case studies for a total of 10% of the module marks. |
| Case study | 1 | M | 10 | CBAs, case study and Minitab assignment for a total of 10% of the module mark. |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Prob solv exercises | 1 | M | For maths, students can sit practice mode CBAs and will be provided with practice questions. |
| Prob solv exercises | 1 | M | For maths, students can sit practice mode CBAs and will be provided with practice questions. |
| Digital Examination | 1 | M | A mock examination will be made available prior to the final assessment. |
Assessment Rationale And Relationship
The formal mathematics examination and individual assignments will test the mathematics and statistical concepts and techniques introduced in the module.
The digital skills element will be assessed via a one-hour practical PC lab-based exam where students are required to analyse accounting data relating to an accounting scenario. In this assessment, students will need to demonstrate their understanding of the relevant digital tools covered in the workshops in addition to numeracy, appropriate presentation of information and the analysis of data.
Self and peer review will take place after the report and presentations, and individuals will receive the group mark adjusted according to self and peer review i.e. their own and their team members' assessment of each other's contributions to report and presentation. Each team is to keep a log of its meetings, which should be handed in with the project itself. The Module Leader retains the right to adjust individual marks where it is deemed necessary in the interests of fairness, including the award of a zero mark for individual students who fail to participate and/or fail to contribute effectively to their group.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- ACC1012's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- ACC1012's past Exam Papers
General Notes
N/A
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Disclaimer
The information contained within the Module Catalogue relates to the 2026 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, staffing changes, and student feedback. Module information for the 2027/28 entry will be published here in early-April 2027. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.